th - 1987 - 51st ENC Conference
th - 1987 - 51st ENC Conference
th - 1987 - 51st ENC Conference
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MK3<br />
OLIGONUCLEOTIDE STRUC'I13RE ~ BASED ON QUANTITATIVE 2DNOE SPECTRA<br />
Brandan A. Borgias* and 'rnomas L. James<br />
Department of Pharmaceutical Chemistry<br />
Unive~ty of California, San Francisco, CA 94143<br />
The use of 2DNOE (two-dimensional nuclear Overhauser effect) spectroscopy in <strong>th</strong>e muc-<br />
characterization of biomolecules has generally been qualitative or semi-quantitative.<br />
Observed cross-peaks me presumed to be a consequence of <strong>th</strong>e close proximity (< 5 ~,) for <strong>th</strong>e<br />
associated protons. Distances are estimated based on <strong>th</strong>e relative intensifies and buildup of cross-<br />
peaks according to an approximate relationship between <strong>th</strong>e intensifies and <strong>th</strong>e proton-proton dis-<br />
tances. Distances obtained in <strong>th</strong>is manner have proven useful as constraints in structural determi-<br />
nations by distance geometry ! and molecular dynamics 2 calculations.<br />
The exact relationship between <strong>th</strong>e inter-proton distances and <strong>th</strong>e intensities is given by <strong>th</strong>e<br />
exponential function:<br />
aCt=a) = exp(-RCm) ;<br />
where R is <strong>th</strong>e relaxation matrix. The off-diagonal elements of <strong>th</strong>e relaxation matrix are propor-<br />
tional to I/rij6 •<br />
Rij - 0.l,yi2 7j 21~[6J(o~ i + ~j) - J((0 i - ¢~j)] / rij6.<br />
Thus, for short mixing times (Zm---~), <strong>th</strong>e inter-proton d i ~ can be estimated from <strong>th</strong>e cross-<br />
peak intensities. At longer mixing limes <strong>th</strong>is approximation breaks down due to spin diffusion.<br />
However, it is wi<strong>th</strong> mixing times of intermediate duration where one begins to observe a reason-<br />
able number of cross-peaks wi<strong>th</strong> acceptable signal/noise.<br />
In contrast to <strong>th</strong>e approximate approach, exact intensities can be calculated for a given<br />
<strong>th</strong>ree-dimensional array of pmtom after diagonalizing <strong>th</strong>e relaxation matrix:<br />
= exp(- ;<br />
where ;L is <strong>th</strong>e diagonal eigenvalue matrix and ~ is <strong>th</strong>e associated matrix of eigenveaors? We<br />
have incorporated <strong>th</strong>is exact calculation of intensifies into a least-squares program which refines<br />
oligonucleotide structure. In <strong>th</strong>e course of <strong>th</strong>is work we have investigated <strong>th</strong>e consequences of<br />
errors in <strong>th</strong>e data on <strong>th</strong>e refinement process. The major conclusions to be drawn are <strong>th</strong>e foUowing.<br />
(1) ConsWaints are necessary. Refinement of <strong>th</strong>e proton "smmure" in 3-space, wi<strong>th</strong>out con-<br />
straints due to <strong>th</strong>e molecular skeleton, is unsuccessful. In our approach each nucleotide<br />
is defined by ten parameters: 3 translational coordinates and 3 Euler angles for <strong>th</strong>e whole<br />
nucleotide, 2 internal torsion angles (<strong>th</strong>e glycosidic and C4'--C5' bonds) and <strong>th</strong>e sugar<br />
pucker phase and amplitude. The phosphodiester linkages are not included.<br />
(2) Errors in diagonal peak intensifies (easily approaching 50% in <strong>th</strong>e case of overlap) utterly<br />
destroy <strong>th</strong>e refinement if <strong>th</strong>ey are included in calculation of <strong>th</strong>e residuals. However, if<br />
<strong>th</strong>e diagonals are ignored completely, <strong>th</strong>e refinement is successful.<br />
(3) The correlation times can be successfully refined.<br />
References<br />
(1) Kline, A. D.; Braun, W.; Wfi<strong>th</strong>rich, K. J. Mol. Biol. (1986) 189, 377-382.<br />
(2) Clore, G. M.; Gronenbom, A. M.; Brfinger, A. T.; Karplus, M. J. Mol. Biol. (1985) 186,435-455.<br />
(3) Keepers, J. W., James, T. I.. J. Magn. Reson. (1984) $7, 404-426.